Extension of UKCMER Core Research, Industry and International Engagement

UKCMER 核心研究、行业和国际参与的扩展

• 批准号: EP/M014738/1
• 负责人: Robin Wallace
• 金额: $ 101.33万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2015
• 资助国家: 英国
• 起止时间: 2015 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FM014738%2F1
• 关键词: Extension; UKCMER; Core; Research; Industry

Wave and tidal energy devices are subjected to normal everyday loadings and abnormal extreme loadings. Extreme loadings are severe and less frequent. The repetitive loadings arising from wave-device interaction or current-blade-structure interaction are lower and occur very frequently in normal operation. Economic designs that will survive have to withstand, without structural failure, a combination of these types of loading over the design life of the device and its subsystems. Cumulative fatigue damage in the wave or turbulent-current environment could occur earlier than anticipated in the life of wave or tidal current technologies and needs to be better understood to predict wear-out or failure and ensure designs are robust without entailing excessive cost. This work will explore numerically through computer modelling, and physically through preliminary model- and sea-testing, the interaction of tidal and wave devices with their sea that surrounds them, one another, their moorings and the electricity network to understand the cyclic and irregular forces acting and the structural loadings arising, ultimately aiming to reduce fatigue effects and increase reliability.

波浪和潮汐能装置承受正常的日常载荷和异常的极端载荷。极端负荷是严重的，而且不太频繁。波浪-器件相互作用或电流-叶片-结构相互作用产生的重复载荷较小，在正常运行时发生的频率很高。经济设计要存活下来，必须在设备及其子系统的设计寿命内承受这些类型载荷的组合，而不会出现结构故障。波浪或湍流环境中的累积疲劳损伤在波浪或潮流技术的使用寿命中可能比预期更早发生，需要更好地了解以预测磨损或故障，并确保设计在不产生过高成本的情况下是坚固的。这项工作将通过计算机模拟，并通过初步模型和海上试验，以物理方式探索潮汐和波浪装置与其周围的海洋、彼此、它们的系泊和电力网络之间的相互作用，以了解作用于循环和不规则的力以及产生的结构载荷，最终目的是减少疲劳效应并提高可靠性。

项目成果

Control of a Point Absorber Using Reinforcement Learning

• DOI: 10.1109/tste.2016.2568754
• 发表时间: 2016-06
• 期刊: IEEE Transactions on Sustainable Energy
• 影响因子: 8.8
• 作者: E. Anderlini;D. Forehand;P. Stansell;Qing Xiao;M. Abusara

An approach to the characterisation of the performance of a tidal stream turbine

• DOI: 10.1016/j.renene.2017.05.010
• 发表时间: 2017-10
• 期刊: Renewable Energy
• 影响因子: 8.7
• 作者: Matthew Allmark;R. Grosvenor;P. Prickett

The effects of wind-induced inclination on the dynamics of semi-submersible floating wind turbines in the time domain

• DOI: 10.1016/j.renene.2015.11.020
• 发表时间: 2016-04
• 期刊: Renewable Energy
• 影响因子: 8.7
• 作者: R. Antonutti;C. Peyrard;L. Johanning;A. Incecik;D. Ingram

Reactive control of a wave energy converter using artificial neural networks

• DOI: 10.1016/j.ijome.2017.08.001
• 发表时间: 2017-09
• 期刊: International Journal of Marine Energy
• 作者: E. Anderlini;D. Forehand;E. Bannon;M. Abusara

On errors in low frequency wave measurements from wave buoys

• DOI: 10.1016/j.oceaneng.2014.11.033
• 发表时间: 2015-02
• 期刊: Ocean Engineering
• 影响因子: 5
• 作者: I. Ashton;L. Johanning